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Category: robotics/AI – Page 338

AI reveals astrocytes play a ‘starring’ role in dynamic brain function

Long overlooked and underestimated, glial cells—non-neuronal cells that support, protect and communicate with neurons—are finally stepping into the neuroscience spotlight. A new Florida Atlantic University study highlights the surprising influence of a particular glial cell, revealing that it plays a much more active and dynamic role in brain function than previously thought.

Using sophisticated computational modeling and , researchers discovered how astrocytes, a “star” shaped glial cell, subtly—but significantly—modulate communication between neurons, especially during highly coordinated, synchronous brain activity.

“Clearly, are significantly implicated in several brain functions, making identifying their presence among neurons an appealing and important problem,” said Rodrigo Pena, Ph.D., senior author, an assistant professor of biological sciences within FAU’s Charles E. Schmidt College of Science on the John D. MacArthur Campus in Jupiter, and a member of the FAU Stiles-Nicholson Brain Institute.

Scientists create biological ‘artificial intelligence’ system

Australian scientists have successfully developed a research system that uses ‘biological artificial intelligence’ to design and evolve molecules with new or improved functions directly in mammal cells. The researchers said this system provides a powerful new tool that will help scientists develop more specific and effective research tools or gene therapies.

Named PROTEUS (PROTein Evolution Using Selection) the system harnesses ‘directed evolution’, a lab technique that mimics the natural power of evolution. However, rather than taking years or decades, this method accelerates cycles of evolution and natural selection, allowing them to create molecules with new functions in weeks.

This could have a direct impact on finding new, more effective medicines. For example, this system can be applied to improve gene editing technology like CRISPR to improve its effectiveness.

AI model transforms blurry, choppy videos into clear, seamless footage

A research team, led by Professor Jaejun Yoo from the Graduate School of Artificial Intelligence at UNIST has announced the development of an advanced artificial intelligence (AI) model, “BF-STVSR (Bidirectional Flow-based Spatio-Temporal Video Super-Resolution),” capable of simultaneously improving both video resolution and frame rate.

This research was led by first author Eunjin Kim, with Hyeonjin Kim serving as co-author. Their findings were presented at the Conference on Computer Vision and Pattern Recognition (CVPR 2025) held in Nashville June 11–15. The study is posted on the arXiv preprint server.

Resolution and frame rate are critical factors that determine . Higher resolution results in sharper images with more detailed visuals, while increased frame rates ensure smoother motion without abrupt jumps.

AI cloud infrastructure gets faster and greener: NPU core improves inference performance by over 60%

The latest generative AI models such as OpenAI’s ChatGPT-4 and Google’s Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating companies like Microsoft and Google purchase hundreds of thousands of NVIDIA GPUs.

As a solution to address the core challenges of building such high-performance AI infrastructure, Korean researchers have succeeded in developing an NPU (neural processing unit) core technology that improves the inference performance of generative AI models by an average of more than 60% while consuming approximately 44% less power compared to the latest GPUs.

Professor Jongse Park’s research team from KAIST School of Computing, in collaboration with HyperAccel Inc., developed a high-performance, low-power NPU core technology specialized for generative AI clouds like ChatGPT.

Man with no programming skills wins 200 IT hackathons thanks to AI

Rene Turcios, 29, from San Francisco, has won 200 IT hackathons in two years, an ambitious achievement for someone with no programming skills.

René is a professional Yu-Gi-Oh! player, cannabis enthusiast, and reseller of Labubu toys, but he devotes most of his time to participating in IT hackathons. Since 2023, he has attended more than 200 events and won cash prizes and software credits.

The craziest thing about all this is that Tursios has no programming skills and is a representative of a new generation of programmers — the so-called web coders, i.e. people who write code with the help of AI chatbots.

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